LLM Prompts

Payment Fraud Detection Scenario Generator

Generates realistic payment fraud scenarios for testing.

The method

Use this prompt in ChatGPT or Gemini to simulate various fraud scenarios related to payment processing. Provide context on the payment system and typical user behavior. This will help in testing fraud detection models and training staff. Ideal for risk assessment and security planning.

The prompts

Prompt 1
Develop a range of fraud scenarios targeting an e-commerce platform that sells electronics. Consider tactics like card testing, triangulation fraud, and account takeover. Detail the steps a fraudster might take, the indicators that would be visible to the system, and the potential impact of each scenario. Include variations in transaction amounts, geographical locations, and payment methods to create a comprehensive set of test cases. Focus on vulnerabilities related to customer accounts and payment gateways.
Prompt 2
Simulate a series of fraud scenarios for a mobile payment app used in a developing country. Factor in common scams such as SIM swapping, fake merchant accounts, and social engineering attacks. Describe the vulnerabilities that could be exploited, the red flags that should be monitored, and the methods fraudsters might use to bypass security measures. Take into consideration the lower levels of digital literacy in this region and how that may affect a user's vulnerability to scams. Focus on methods to prevent the loss of funds and prevent the compromise of user data.